TY - JOUR
T1 - Wind driven natural ventilation through multiple windows of a building
T2 - A computational approach
AU - Bangalee, M. Z.I.
AU - Lin, S. Y.
AU - Miau, J. J.
N1 - Funding Information:
The authors wish to appreciate the supports given by the National Science Council, Republic of China under grant no. NSC 99-2221-E-006-055 . The first author would like to thank Dr. Shih-Hsiung Chen, Professor, IAA, NCKU, Taiwan for his invaluable support. The authors also wish to extend their appreciations for the valuable comments and suggestions given by the anonymous reviewers.
PY - 2012/2
Y1 - 2012/2
N2 - Natural ventilation is an energy saving system for the building to ensure occupant's physical comfort. It has also no contribution to the atmospheric pollution as well as the global warming. In the present study, a building with multiple windows is considered to investigate the wind-driven a ventilation system using computational fluid dynamics (CFD), whose acceptance and accuracy are growing very fast. The Renormalization group (RNG) k-ε turbulence model is chosen to simulate cross and single-sided ventilation with a specified accuracy after validating the methodology through the satisfactory comparison with an experimental result. The CFD model is then applied to investigate the physical mechanism of the air movement. The results are presented in the form of the mean velocity vectors, the magnitude of velocity, the components of velocity, the pressure distribution, the pressure coefficient and the effect of incoming wind velocity inside and outside the building. The necessity of three-dimensional (3D) approach to predict the indoor air movement correctly in studying natural ventilation system is also emphasized in this article.
AB - Natural ventilation is an energy saving system for the building to ensure occupant's physical comfort. It has also no contribution to the atmospheric pollution as well as the global warming. In the present study, a building with multiple windows is considered to investigate the wind-driven a ventilation system using computational fluid dynamics (CFD), whose acceptance and accuracy are growing very fast. The Renormalization group (RNG) k-ε turbulence model is chosen to simulate cross and single-sided ventilation with a specified accuracy after validating the methodology through the satisfactory comparison with an experimental result. The CFD model is then applied to investigate the physical mechanism of the air movement. The results are presented in the form of the mean velocity vectors, the magnitude of velocity, the components of velocity, the pressure distribution, the pressure coefficient and the effect of incoming wind velocity inside and outside the building. The necessity of three-dimensional (3D) approach to predict the indoor air movement correctly in studying natural ventilation system is also emphasized in this article.
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U2 - 10.1016/j.enbuild.2011.11.025
DO - 10.1016/j.enbuild.2011.11.025
M3 - Article
AN - SCOPUS:84855220982
SN - 0378-7788
VL - 45
SP - 317
EP - 325
JO - Energy and Buildings
JF - Energy and Buildings
ER -